Abstract
AbstractFire simulation tools have been developed for the inspection of environmental safety. However, they have not been extensively exploited for home use. One critical reason for this is that building the environmental model relies highly on manual operations. In this study, image sensors are adopted to automatically build an environmental model and reduce the labor burden of exploiting fire simulation tools for a fire safety check. To increase the accuracy of an environmental model, our automation extracts the essential features affecting fires from images using recognition models and the proposed approaches. Our automation converts the environmental data into an FDS6 syntax. The experimental results reveal the feasibility of our automation. Compared to a manual operation, our approach not only reduces the labor burden, but also the inconsistent environmental model owing to a manual operation.
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